Vibration Signal Models in Rotating Machinery Fault Diagnosis:A Review
Analyzing vibration signals from rotating machinery can effectively extract features to diagnose equip-ment health conditions.Vibration signal models are derived from the kinematics and dynamics of rotating ma-chinery,expressed in mathematical form,and can guide the design of signal processing methods.With advance-ments in the research of fault mechanism and signal processing,researchers have developed an increasing num-ber of signal models,and designed corresponding signal processing methods based on these models.We first in-troduce generalized signal models,including the periodic signal model,the cyclo-stationary signal model,the adaptive harmonic model,the wave-shape model,and the arbitrary order harmonic model,etc.,and their corre-sponding signal processing methods;then,typical vibration signal models for bearings and gears under constant and time-varying operating conditions are discussed,along with their respective signal processing methods;fi-nally,conclusions and outlooks of the research development of vibration signal models are given.We aim to re-view signal models involved in rotating machinery fault diagnosis and to highlight their significance in designing methods for signal processing and feature extraction.
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